Dicom MCP
dicom-mcp is a DICOM-based model context protocol server that provides tools for large language models to query and interact with medical imaging metadata. It supports the retrieval of patient information, examinations, series, and instances, as well as the extraction of text from DICOM-encapsulated PDFs.
2.5 points
9.7K

What is dicom-mcp?

dicom-mcp is a specialized server that allows AI systems to securely access and analyze medical imaging data stored in DICOM format. It acts as a bridge between AI assistants and hospital PACS systems, enabling querying of patient records, imaging studies, and clinical reports while maintaining DICOM security standards.

How to use dicom-mcp?

After installation and configuration, you can interact with the server through supported AI platforms (like Claude or Zed) using natural language commands. The server handles the technical DICOM communications while you focus on the medical questions.

Use Cases

Ideal for radiologists needing AI assistance, clinical researchers analyzing imaging databases, or healthcare AI developers building medical imaging applications. Common scenarios include patient record lookup, study comparison, and automated report analysis.

Key Features

Comprehensive DICOM Querying
Search across patient records, imaging studies, series and individual DICOM instances with flexible filtering options
Clinical Report Extraction
Automatically extract text from PDF reports stored in DICOM format for AI analysis
Multiple PACS Support
Configure and switch between different hospital PACS systems with different security requirements
Smart Attribute Presets
Predefined query templates (minimal/standard/extended) simplify accessing the most relevant DICOM metadata
Advantages
Standardized access to medical imaging data through DICOM protocols
No need to learn complex DICOM query syntax - use natural language
Secure connection following hospital PACS security requirements
Lightweight server that integrates with existing AI platforms
Limitations
Requires configuration by IT staff for hospital PACS connections
Limited to metadata and PDF extraction - doesn't process image pixels
Performance depends on PACS server response times
Currently supports only DICOM (not other medical data formats)

Getting Started

Installation
Install the server using pip package manager
Configuration
Create a YAML configuration file with your PACS connection details (see example in Resources)
Launch Server
Start the server pointing to your configuration file
Connect AI Platform
Configure your AI platform (Claude/Zed) to connect to the running server

Example Scenarios

Patient Record Lookup
Find all available information for a patient who may have multiple imaging studies
Report Analysis
Extract and analyze text from radiology reports
Study Comparison
Compare multiple studies for the same patient

Frequently Asked Questions

What DICOM servers are supported?
Is patient data stored by the server?
Can I view actual medical images?
How is patient privacy maintained?

Additional Resources

Official Documentation
Model Context Protocol specification
Sample Configuration
Example YAML configuration file
pynetdicom Library
Underlying DICOM library used by the server
DICOM Standard Overview
Introduction to DICOM medical imaging standard

Installation

Copy the following command to your Client for configuration
"mcpServers": {
  "dicom": {
    "command": "uv",
    "args": ["--directory", "/path/to/dicom-mcp", "run", "dicom-mcp", "/path/to/configuration.yaml"]
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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